FastAL: Fast Evaluation Module for Efficient Dynamic Deep Active Learning Using Broad Learning System
State-of-the-art Active Learning (AL) methods often encounter challenges associated with a hysteretic learning process and an expensive data sampling mechanism. The former […]
Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory Prediction
Reducing energy consumption is a pressing issue in low-power machine-type communication (MTC) networks. In this regard the Wake-up Signal (WuS) technology which […]